Applications of Deep Learning are adding value in consumer, industrial, retail and many other contexts. From face recognition in our photo management services to security applications and IoT applications are bringing an intelligence and adaptability of computing that is no longer confined to computer science laboratories.

Leading online businesses, notably Microsoft, Facebook, Google, Amazon, Baidu among others, have made Deep Learning capabilities accessible like never before through open sourcing or making deep learning web services available for wide consumption. Big Data Malaysia and Cloudera are proud to announce an informal session on the applications of Deep Learning and how Deep Learning can fit into your Big Data ecosystem.

Come join us to hear from local and international speakers discuss Deep Learning and its everyday uses.

Agenda:

5.30pm - Doors Open - Early Start!

6 pm - 1st Speaker Amr Awadallah, Founder & CTO, Cloudera

6.45pm - 2nd speaker - Poo Kuan Hoong, Senior Lecturer, Multimedia University

7.30pm - 3rd speaker - To Be Announced!

8.15pm - 9pm share your Deep Learning experiments & use cases in small groups

Announcing our first speaker:

Amr Awadallah - Founder & CTO, Cloudera

Amr Awadallah is the Founder, CTO at Cloudera,Inc.He received his BS and MS EE degrees from Cairo University, Egypt, in 1992 and 1995 respectively.He received his PhD in EE from Stanford University in 2007. Before co-founding Cloudera in 2008, Amr (@awadallah) was an Entrepreneur-in-Residence at Accel Partners.Prior to joining Accel he served as Vice President of Product Intelligence Engineering at Yahoo!, and ran one of the very first organizations to use Hadoop for data analysis and business intelligence.Amr joined Yahoo after they acquired his first startup, VivaSmart, in July of 2000.

https://www.linkedin.com/in/awadallah

Poo Kuan Hoong, Senior Lecturer, Multimedia University

Poo Kuan Hoong is currently a senior lecturer in the Faculty of Computing and Informatics at Multimedia University. His current research area spans from Big Data Analytics, Machine Learning, High Performance Computing and Peer-to-peer (P2P) networks. He is also interested in algorithm design and performance modeling of various distributed systems based on a variety of theories, including optimization, graph theory and statistical study of large scale data, to explore problems and derive insights towards their improvement.

https://my.linkedin.com/in/kuanhoong